complexurban /

Complexity, Planning & Urbanism

New MArch Atelier at the Manchester School of Architecture: Developing new theoretical approaches & computational tools using a complexity science framework (systems, self-organisation, emergence, intelligence, structural change, adaptation) for the design, management, governance and understanding of future cities related to climate change, citizen participation, development strategies, resilient interventions, policy making, urban morphology and capacity management.

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Epidemiology in Urbanism – Student Population & the Manchester Corridor

presentation 23 oct-page-001 presentation 23 oct-page-002 presentation 23 oct-page-003 presentation 23 oct-page-008 presentation 23 oct-page-009Since epidemiology is a scientific, systematic approach to collect, analyse and interpret data, we can borrow it from public health practices and translate it in architecture. This data analysis method looks for causal relations by developing and testing hypotheses based on scientific fields such as physics, chemistry, behavioural science, biology and others.

The usual methodology in epidemiology first describes frequencies and patterns of events, which are then analysed in attempts to find causality. Even though this method can be critiqued in terms of the validity of its final hypothesis, combined with more exact scientific tests and results aims at proposing interventions to prevent diseases i.e. controlling the spread of the event.

This method is used to test hypotheses and look for causations in the spread of student population in terms of residency around the Oxford Corridor in the last fifteen years.


Manchester School of Architecture. MArch Program. CPU (Complexity Planning & Urbanism)

Students: Plamena Yotova

Supervisors: Ulysses Sengupta, Rob Hyde, Deljana Iossifova, Eric Cheung

24 January 2016
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